AIMC Topic: Radiation Dosage

Clear Filters Showing 301 to 310 of 546 articles

Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT.

Radiology Jan 18, 2022
Background Ultra-low-dose (ULD) CT could facilitate the clinical implementation of large-scale lung cancer screening while minimizing the radiation dose. However, traditional image reconstruction methods are associated with image noise in low-dose ac...
Radiation Dosage Deep Learning Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Precancerous Conditions Early Detection of Cancer Female Male Lung Prospective Studies Tomography, X-Ray Computed Humans Algorithms
View on PubMed DOI

Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases.

Radiology Jan 11, 2022
Background Assessment of liver lesions is constrained as CT radiation doses are lowered; evidence suggests deep learning reconstructions mitigate such effects. Purpose To evaluate liver metastases and image quality between reduced-dose deep learning ...
Algorithms Prospective Studies Tomography, X-Ray Computed Humans Deep Learning Liver Neoplasms Radiographic Image Interpretation, Computer-Assisted Female Male Radiation Dosage
View on PubMed DOI

Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessment.

European radiology Jan 6, 2022
OBJECTIVE: To evaluate the image quality and clinical acceptance of a deep learning reconstruction (DLR) algorithm compared to traditional iterative reconstruction (IR) algorithms.
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Phantoms, Imaging Humans Tomography, X-Ray Computed Algorithms Deep Learning
View on PubMed DOI

Reconstruction of three-dimensional tomographic patient models for radiation dose modulation in CT from two scout views using deep learning.

Medical physics Jan 6, 2022
BACKGROUND: A tomographic patient model is essential for radiation dose modulation in x-ray computed tomography (CT). Currently, two-view scout images (also known as topograms) are used to estimate patient models with relatively uniform attenuation c...
Deep Learning Radiation Dosage Phantoms, Imaging Retrospective Studies Humans Tomography, X-Ray Computed
View on PubMed DOI

Deep learning versus iterative image reconstruction algorithm for head CT in trauma.

Emergency radiology Jan 5, 2022
PURPOSE: To compare the image quality between a deep learning-based image reconstruction algorithm (DLIR) and an adaptive statistical iterative reconstruction algorithm (ASiR-V) in noncontrast trauma head CT.
Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Deep Learning Humans Algorithms
View on PubMed DOI

Image quality and radiologists' subjective acceptance using model-based iterative and deep learning reconstructions as adjuncts to ultrahigh-resolution CT in low-dose contrast-enhanced abdominopelvic CT: phantom and clinical pilot studies.

Abdominal radiology (New York) Dec 16, 2021
PURPOSE: In contrast-enhanced abdominopelvic CT (CE-APCT) for oncologic follow-up, ultrahigh-resolution CT (UHRCT) may improve depiction of fine lesions and low-dose scans are desirable for minimizing the potential adverse effects by ionizing radiati...
Radiologists Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Humans Deep Learning Algorithms Pilot Projects
View on PubMed DOI

The effect of deep learning reconstruction on abdominal CT densitometry and image quality: a systematic review and meta-analysis.

European radiology Dec 15, 2021
OBJECTIVE: To determine the difference in CT values and image quality of abdominal CT images reconstructed by filtered back-projection (FBP), hybrid iterative reconstruction (IR), and deep learning reconstruction (DLR).
Abdomen Humans Tomography, X-Ray Computed Densitometry Algorithms Radiographic Image Interpretation, Computer-Assisted Deep Learning Radiation Dosage
View on PubMed DOI

Deep-learning reconstruction for ultra-low-dose lung CT: Volumetric measurement accuracy and reproducibility of artificial ground-glass nodules in a phantom study.

The British journal of radiology Dec 15, 2021
OBJECTIVES: The lung nodule volume determined by CT is used for nodule diagnoses and monitoring tumor responses to therapy. Increased image noise on low-dose CT degrades the measurement accuracy of the lung nodule volume. We compared the volumetric a...
Lung Neoplasms Solitary Pulmonary Nodule Radiation Dosage Phantoms, Imaging Tumor Burden Humans Tomography, X-Ray Computed Deep Learning Radiographic Image Enhancement Radiation Exposure
View on PubMed DOI

Noise reduction profile: A new method for evaluation of noise reduction techniques in CT.

Medical physics Dec 15, 2021
PURPOSE: Noise power spectrum (NPS) is a commonly used performance metric to evaluate noise-reduction techniques (NRT) in imaging systems. The images reconstructed with and without an NRT can be compared via their NPS to better understand the NRT's e...
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Phantoms, Imaging Artificial Intelligence Algorithms Tomography, X-Ray Computed
View on PubMed DOI

Abdominal computed tomography localizer image generation: A deep learning approach.

Computer methods and programs in biomedicine Dec 5, 2021
BACKGROUND AND OBJECTIVE: Computed Tomography (CT) has become an important clinical imaging modality, as well as the leading source of radiation dose from medical imaging procedures. Modern CT exams are usually led by two quick orthogonal localizatio...
Abdomen Radiation Dosage Tomography, X-Ray Computed Humans Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals